Smart wearable devices and methods for optimizing output

ABSTRACT

A smart wearable devices and methods for output optimization are presented where the smart wearable device receives input from one or more sensors, including input related to the user&#39;s biological characteristics. This input is used to determine an optimal output form. If the determined output form is different from the smart wearable device&#39;s native or default output form, the smart wearable device transcribes the output into the optimal out using a transcription engine.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a 35 U.S.C. §111(a) continuation of PCTinternational application number PCT/US2015/016597 filed on Feb. 19,2015, incorporated herein by reference in its entirety, which claimspriority to, and the benefit of, U.S. provisional patent applicationSer. No. 61/943,837 filed on Feb. 24, 2014, incorporated herein byreference in its entirety. Priority is claimed to each of the foregoingapplications.

The above-referenced PCT international application was published as PCTInternational Publication No. WO 2015/127062 A1 on Aug. 27, 2015, whichpublication is incorporated herein by reference in its entirety.

INCORPORATION-BY-REFERENCE OF COMPUTER PROGRAM APPENDIX

Not Applicable

NOTICE OF MATERIAL SUBJECT TO COPYRIGHT PROTECTION

A portion of the material in this patent document is subject tocopyright protection under the copyright laws of the United States andof other countries. The owner of the copyright rights has no objectionto the facsimile reproduction by anyone of the patent document or thepatent disclosure, as it appears in the United States Patent andTrademark Office publicly available file or records, but otherwisereserves all copyright rights whatsoever. The copyright owner does nothereby waive any of its rights to have this patent document maintainedin secrecy, including without limitation its rights pursuant to 37C.F.R. §1.14.

BACKGROUND

1. Field of the Technology

This technology pertains generally to smart wearable devices and morespecifically to smart wearable devices that use sensorial input tooptimize output.

2. Discussion

Smart wearable devices are extremely limited and ridged in the way theyoutput information, recommendations and feedback to the user. Thedevices have either a very basic output interface attached to them (suchas a screen, audio speaker or motor actuator) or they rely on anexternal mobile application (installed on a smartphone or tablet forinstance) or a Web interface for a richer, more graphical output. Thiscan make the operation of smart wearable devices difficult for somepeople because they are required to learn another user interface and/orlanguage paradigm and may even have to rely on the use of an externaldevice (such as a smartphone) in order to get the full potential fromtheir device. Accordingly, this can limit the desire to use smartwearable devices. For example, children may not be able to read orunderstand textual information and may prefer to have a device displayinformation in pictograms, videos or with entertaining icons.

Users of smart wearable devices may not be able to understand the rawinformation, such as number of steps taken in day or body temperature,which is output by current wearable devices. Disabled people areexcluded from using some of the most current wearable devices as well.For instance, blind people who cannot get visual feedback fromsmart-watches, deaf people unable to hear audible feedback from smartglasses, tetraplegic people unable to feel the haptic feedback fromtheir personal trackers, etc. Therefore, it is desirable to have smartwearable device that can determine the optimal output form for aspecific user.

BRIEF SUMMARY

An aspect of the present disclosure is a smart wearable devices andmethods for output optimization. In one exemplary embodiment, a smartwearable device receives input from one or more sensors, including inputrelated to the user's biological characteristics. This input can be usedto determine an optimal output form. If the determined output form isdifferent from the smart wearable device's native or default outputform, the smart wearable device may transcribe the output into theoptimal output using a transcription engine. Examples of transcriptionengines include, but are not limited to, text to speech and speech totext engine, a natural language processing engine, an image generatingengine, a sound generating engine, a vibration generating engine, asmell generating engine and an integrated third party applicationprogramming interface.

Further aspects of the technology will be brought out in the followingportions of the specification, wherein the detailed description is forthe purpose of fully disclosing preferred embodiments of the technologywithout placing limitations thereon.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S)

The technology described herein will be more fully understood byreference to the following drawings which are for illustrative purposesonly:

FIG. 1 is a schematic diagram of an embodiment of a smart wearablenetwork described herein.

FIG. 2 is a functional block diagram of an embodiment of a smartwearable device described herein.

FIG. 3 is a schematic diagram illustrating an embodiment of a smartwearable device optimizing output given specific input related to auser.

FIG. 4 is a flow diagram of an exemplary method of a smart wearabledevice optimizing output given specific input related to a user.

DETAILED DESCRIPTION

The present disclosure generally pertains to wearable devices that arecapable of, for example, performing an action based on one or morebiological or physiological characteristics of the user wearing thedevice. Using one or more sensors, a processor, and code executable onthe processor, a wearable device can be configured to sense and processcharacteristics that include, but are not limited to, a wearer'sphysical characteristics such as gender, weight, height, bodytemperature, skin temperature, heart rate, respiration, blood sugarlevel, blood glucose level, stress/fatigue, galvanic skin response,ingestion (protein), digestion rate, metabolic rate, blood chemistry,sweat, core and skin temperature, vital signs, eye dryness, tooth decay,gum disease, energy storage, calorie burn rate, mental alertness,cardiac rhythm, sleep patterns, caffeine content, vitamin content,hydration, blood oxygen saturation, blood coritzol level, bloodpressure, cholesterol, lactic acid level, body fat, protein level,hormone level, muscle mass, pH, etc. Such conditions may also include,but are not limited to, position (e.g., prone, upright), movement, orphysical state (e.g., sleeping, exercising), etc.

A wearable device may include one or more output devices that include,but are not limited to, haptic output devices (e.g., offset motors,electroactive polymers, capacitive voltage generators, Peltiertemperature elements, contracting materials, Braille coding actuators),telemetry devices, visual devices, audible devices, and other outputdevices.

A wearable device include artificial intelligence so that the device canlearn and adapt to the wearer. The device may be configured toaccurately discriminate between erroneous (accidental, unintended, etc.)and valid sensory inputs, thereby developing accurate conclusions abouta wearer's physical state or characteristics (e.g., the device does notinterpret a wearer rolling over in their sleep as the wearerexercising). The device may also include one or more cameras or othervisual sensors for facial, user, or other image recognition. A wearabledevice may also be configured to transmit information to and/or retrieveinformation from a wearer's digital health history.

A wearable device may be configured to output information to a user, toanother wearable device, to a non-wearable device, or to a networkaccording to the particular features and function of the device.

A. Generalized System Implementation.

FIG. 1 illustrates a generalized networked infrastructure (e.g., system)100 that includes a network 102. The network could, for example, be alocal area network or a wide area network such as the Internet. One ormore smart wearable devices 104-1 through 104-n according to embodimentsof the technology described herein may be enabled to communicate withthe network 102 through a wired or wireless connection 106. Further, oneor more of the smart wearable devices may be enabled to communicate withanother smart wearable device through the network 102 or by means of adirect wired or wireless connection 108.

One or more of the smart wearable devices 104-1 through 104-n also maybe enabled to communicate with one or more non-wearable devices 110-1through 110-n. The non-wearable devices, which are beyond the scope ofthis disclosure, may be any conventional “smart” device with aprocessor, associated operating system, and communications interface.Examples of non-wearable devices include Smartphones, tablet computers,laptop computers, desktop computers, and set top boxes. Any of thenon-wearable devices may be of a type enabled to communicate with anexternal device through a wired or wireless connection. In that case,one or more of the smart wearable devices may be enabled to communicatewith one or more of the non-wearable devices by means of a direct wiredor wireless connection 112. Further, one or more of the non-wearabledevices may be of a type enabled to communicate with the network 102through a standard wired or wireless connection 114. In that case, oneor more of the smart wearable devices may be enabled to communicate withone or more of the non-wearable devices through the network 102.

One or more servers 116-1 through 116-n may be provided in aclient-server configuration and connected to the network by means of awired or wireless connection 118. The servers may include standaloneservers, cluster servers, networked servers, or servers connected in anarray to function like a large computer. In that case, one or more ofthe smart wearable devices may be enabled to communicate with one ormore of the servers.

FIG. 2 illustrates a generalized embodiment of a smart wearable deviceaccording to the technology described herein. It will be appreciatedthat the embodiment shown may be modified or customized to enableperforming the functions described herein. In the exemplary embodimentshown, the smart wearable device includes an “engine” 200 having aprocessor 202, memory 204, and application software code 206. Theprocessor 202 can be any suitable conventional processor. The memory 204may include any suitable conventional RAM type memory and/or ROM typememory with associated storage space for storing the applicationprogramming code 206.

A conventional wired or wireless communications module 208 (e.g.,transmitter or receiver or transceiver) may be included as needed forperforming one or more of the functions of the smart wearable devicedescribed herein. Examples of wireless communication capabilities thatcan be provided include, but are not limited to, Bluetooth, Wi-Fi,infrared, cellular, ZigBee, Z-Wave and near field communication. One ormore conventional interfaces or controllers 210 may also be provided ifneeded. Examples of interfaces or controllers include, but are notlimited to, analog to digital converters, digital to analog converters,buffers, etc.

The device may include at least one input 212 for a biological orphysiological sensor for providing input to the device to perform one ormore of the functions described herein. Sensor inputs 214-1 through214-n for optional sensors may be included as well. These optional inputsensors may include, but are not limited to, accelerometers, temperaturesensors, altitude sensors, motion sensors, position sensors, and othersensors to perform the function(s) described herein. One or moreconventional interfaces or controllers 216 may be provided if needed forthe sensors. Examples of interfaces or controllers include, but are notlimited to, analog to digital converters, digital to analog converters,buffers, etc.

Additionally, the device may include one or more outputs 218-1 through218-n to drive one or more output devices (and include those outputdevices). These output devices may include, but are not limited to,haptic output devices, telemetry devices, visual devices, audibledevices, and other output devices to perform the functions describedherein. One or more conventional interfaces or controllers 220 may beprovided if needed for the output devices. Examples of interfaces orcontrollers include, but are not limited to, analog to digitalconverters, digital to analog converters, buffers, etc.

A user input 222 may be provided according to the functions describedherein. The user input may, for example, initiate one or more functions,terminate one or more functions, or intervene in a running process. Theuser input can be any conventional input device, including but notlimited to, manual switches, touch sensors, magnetic sensors, proximitysensors, etc. One or more conventional interfaces or controllers 224 maybe provided if needed for the output devices. Examples of interfaces orcontrollers include, but are not limited to, analog to digitalconverters, digital to analog converters, buffers, etc.

Depending on the function(s) described herein, the engine 200 may alsoinclude a feedback loop 226 for machine learning or other adaptivefunctions. The feedback loop may also provide for device calibration.

It will be appreciated that a smart wearable device as described hereinwould necessarily include a housing or carrier for the above-describedcomponents. It will further be appreciated that, as used herein, theterm “smart wearable device” means a device that would be worn orotherwise associated with the body of a user and be “connected” to theuser by means of at least one sensor for sensing one or more biologicalor physiological conditions of the user.

The particular form of the housing or carrier (i.e., wearable platform)can vary according to choice and suitability for performing thefunctions described herein. Examples of wearable platforms include, butare not limited to, hand worn devices, finger worn devices, wrist worndevices, head worn devices, arm worn devices, leg worn devices, ankleworn devices, foot worn devices, toe worn devices, watches, eyeglasses,rings, bracelets, necklaces, articles of jewelry, articles of clothing,shoes, hats, contact lenses, gloves, etc.

It will further be appreciated that the input sensors and output devicesmay be integrated into the wearable platform, or may be external to thewearable platform, as is desired and/or suitable for the function(s) ofthe smart wearable device.

B. Smart Wearable Device and Methods for Output Optimization.

A smart wearable device that can automatically or semi-automaticallytranslate, transcribe, render or otherwise adapt its output from its“native form” to another type (or multiple types) of output form whichcan be more easily, quickly or deeply understood (and acted upon) by thespecific user is described herein. This includes, but is not limited to:transforming text into a dynamically-generated picture or video,transforming visual output into audio or haptics (or vice versa),reducing the complexity of the information (or increasing it in the caseit is to be read by professionals such as health providers), etc. Thesmart wearable device can determine which output form is optimal for aparticular user by analyzing the sensor input from the user. Such inputcan be acquired automatically or may be manually entered into the deviceby the user.

Referring now to FIG. 3, a schematic diagram 300 is show in which awearable smart device 104-1 may include sensors 214-1, 214-n foracquiring input, including but not limited to, biological sensors 212that are configured to collect input related to biologicalcharacteristics of the user 302 (see also FIG. 2). Such biologicalcharacteristics may be, but are not limited to, age, gender, educationlevel, mental status, health conditions, etc. The smart wearable devicemay also use third party information, such as information from socialmedia or e-mail messages, to optimize an output form. Optionally, pastpersonal preferences, such as a favorite type of output given a specificsituation or saved manual preset output forms, may be used to optimize aparticular output form. In the example embodiment shown in FIG. 3, thesmart wearable device may automatically acquire input 304 from one ofits sensors, such as a biological sensor 212. A user may also enter anydesired input manually into the smart wearable device, such as personalcharacteristics or schedules. The smart wearable device can then usethis input 304 to determine the optimal form for the device's output.The optimal output form selected by the smart wearable device may be,but is not limited to, images 306, sound, such as music tones or voices308, haptic signals 310 and lights 312, or a combination of these outputform examples.

If the native or default output form is determined to be different thanthe determined optimal output form, the smart wearable device maytranscribe the output information into the optimal output form using oneor more transcription engines. This transcription engine may be accessedby the smart wearable device through a stand-alone wireless connectionor tethered through a wireless-enabled non-wearable device, for example.The transcription engine may also be a natively-embedded application orqueried remotely through a cloud-based access. The smart wearable devicemay select a specific transcription engine, such as a text to speech andspeech to text engine, a natural language processing engine, an imagegenerating engine, a sound generating engine, a vibration generatingengine, a smell generating engine or an integrated third partyapplication programming interface, such as a medical dictionary, foreignlanguage dictionary, or sign language directory. The image generationimage engine can combine a set of basic patterns and images (eitherstored locally or remotely) into a visual image/video output. Forexample, the device could pull the user's Facebook picture, extract theuser's face, and assemble it with a colored background to visuallyindicate positive (or negative) feedback.

Referring back to FIG. 3, once the output has been optimized, the smartwearable device may convey the optimized output to the user 302 itselfor it may transmit 316 the optimized output to one or more non-wearabledevices 110-1, 110-n or another smart wearable device 104-n and thatdevice may then convey the optimized output to the user 302.

Referring now to FIG. 4, a flow diagram 400 is shown, which illustrateshow one embodiment of the smart wearable device and methods may be usedto optimize its output. The smart wearable device may receive input froma sensor that may be internal or external to the smart wearable device410. Although at least one of the sensors may be biological, acquiringbiological input from the user, other sensors may also be used tocollect input, such as an environmental sensor that may collect inputrelated to the context in which the output will be conveyed 420. Thesmart wearable device may use this received input to determine anoptimal output form 430. If the smart wearable device's native ordefault output form is different from the determined optimal outputform, the smart wearable device may then transcribe the output into theoptimal form using one or more transcription engines 440. Once theoptimal output is achieved, the smart wearable device may convey theoptimized output to a user itself 450 or the smart wearable may transmitthe optimized output to an alternative device 460 and that device maythen convey the optimized output 450.

A smart wearable device may reduce barriers to using the device byproviding outputs specifically tailored to the user. Additionally, itwill enable a single model of device to be used in a variety of ways andby a broader population and may also make wearable devices' outputs(especially in case of health/fitness monitoring) useful for both theconsumer wearer (“B2C” output type) as well as potential healthcareprofessionals (“B2B” output).

In one embodiment, the smart wearable device may measure, via GPS orother mechanism, the distance travelled by a user during a run. If thewearer has a personal trainer helping the wearer train for a marathon,for example, the distance information can be communicated to thetrainer's wearable or non-wearable device in the optimized format of amap displaying the running route. The map information can provide richerdetail to the trainer who can use this information to develop bettertraining routines for the wearer in training.

In another embodiment, the watch and biological sensor components of thesmart wearable device can measure the pulse rate of the wearer. Insteadof displaying the pulse rate data on the screen, the smart wearabledevice can communicate the pulse rate to the wearer aurally or with ahaptic output. Although communicating a wearer's actual heart rate byhaptic feedback may be overwhelming (e.g. 140 beats per minute in hapticfeedback or a tone sounding 140 times in one minutes), the wearabledevice can be programmed to determine which of two or three bands thewearer's pulse rate fits within and generate a tone or haptic responsespecific to that particular band. An example of the pulse bands couldbe: <100 beats/min; 100-120 beats/min; 130-140 beats/min; >140beats/min. In some cases, the aural mode may be optimum because the userhas selected this mode as the preferred communication mode (rather thanlooking at the watch display). On the other hand, a low lightenvironment could be determined by the programming and automaticallyswitch the device to an aural or haptic output mode so that the brightdisplay doesn't distract the wearer or drain power from the batteryunnecessarily by running the bright display.

In another embodiment of the smart wearable device, the user could ratethe output optimization decision that the smart wearable device has madeand the smart wearable device may then improve its automated outputtranscription.

Embodiments of the present technology may be described with reference toflowchart illustrations of methods and systems according to embodimentsof the technology, and/or algorithms, formulae, or other computationaldepictions, which may also be implemented as computer program products.In this regard, each block or step of a flowchart, and combinations ofblocks (and/or steps) in a flowchart, algorithm, formula, orcomputational depiction can be implemented by various means, such ashardware, firmware, and/or software including one or more computerprogram instructions embodied in computer-readable program code logic.As will be appreciated, any such computer program instructions may beloaded onto a computer, including without limitation a general purposecomputer or special purpose computer, or other programmable processingapparatus to produce a machine, such that the computer programinstructions which execute on the computer or other programmableprocessing apparatus create means for implementing the functionsspecified in the block(s) of the flowchart(s).

Accordingly, blocks of the flowcharts, algorithms, formulae, orcomputational depictions support combinations of means for performingthe specified functions, combinations of steps for performing thespecified functions, and computer program instructions, such as embodiedin computer-readable program code logic means, for performing thespecified functions. It will also be understood that each block of theflowchart illustrations, algorithms, formulae, or computationaldepictions and combinations thereof described herein, can be implementedby special purpose hardware-based computer systems which perform thespecified functions or steps, or combinations of special purposehardware and computer-readable program code logic means.

Furthermore, these computer program instructions, such as embodied incomputer-readable program code logic, may also be stored in acomputer-readable memory that can direct a computer or otherprogrammable processing apparatus to function in a particular manner,such that the instructions stored in the computer-readable memoryproduce an article of manufacture including instruction means whichimplement the function specified in the block(s) of the flowchart(s).The computer program instructions may also be loaded onto a computer orother programmable processing apparatus to cause a series of operationalsteps to be performed on the computer or other programmable processingapparatus to produce a computer-implemented process such that theinstructions which execute on the computer or other programmableprocessing apparatus provide steps for implementing the functionsspecified in the block(s) of the flowchart(s), algorithm(s), formula(e),or computational depiction(s).

It will further be appreciated that “programming” as used herein refersto one or more instructions that can be executed by a processor toperform a function as described herein. The programming can be embodiedin software, in firmware, or in a combination of software and firmware.The programming can be stored local to the device in non-transitorymedia, or can be stored remotely such as on a server, or all or aportion of the programming can be stored locally and remotely.Programming stored remotely can be downloaded (pushed) to the device byuser initiation, or automatically based on one or more factors, such as,for example, location, a timing event, detection of an object, detectionof a facial expression, detection of location, detection of a change inlocation, or other factors. It will further be appreciated that as usedherein, that the terms processor, central processing unit (CPU), andcomputer are used synonymously to denote a device capable of executingthe programming and communication with input/output interfaces and/orperipheral devices.

From the discussion above it will be appreciated that the technology canbe embodied in various ways, including but not limited to the following:

1. A smart wearable device, the device comprising: (a) a housing,wherein the housing encases components of a wearable smart device; (b)one or more sensors, wherein at least one sensor is a biological sensorconfigured to acquire biological input; (c) one or more output forms;(d) a memory; (e) one or more communications interfaces; (f) aprocessor; and (g) programming residing in a non-transitory computerreadable medium, wherein the programming is executable by the computerprocessor and configured to: (i) receive input from the one or moresensors, wherein the input may be acquired automatically or manuallyentered by a user and wherein at least some of the input is related tothe user's biology; (ii) use the received input to determine an optimaloutput form, wherein at least some of the input used to determine theoptimal output form is related to the user's biology; and (iii) if thedevice's native output form is not already in the determined optimaloutput form, transcribe the output into the determined optimal outputform using one or more transcription engines.

2. The device of any preceding embodiments, further comprising: one ormore environmental sensors, wherein at least one environmental sensor isconfigured to acquire contextual input and wherein said programming isfurther configured to: receive input from the one or more environmentalsensors, wherein at least some of the input used to determine theoptimal output form is related to the context in which the smartwearable device is operating.

3. The device of any preceding embodiments, wherein said programming isfurther configured to: transmit the optimized output to another smartwearable or non-wearable device, wherein the other smart wearable deviceor non-wearable device is configured to convey the optimal output formto the user.

4. The device of any preceding embodiments, wherein said programming isfurther configured to: use information inferred from third party datasources or past personal preferences to determine the optimal outputform.

5. The device of any preceding embodiments, wherein the one or morecommunications interfaces are selected from the group consisting of awired communications interface, a wireless communications interface, acellular communications interface, a WiFi communications interface, anear field communications interface, an infrared communicationsinterface, a ZigBee communications interface, a Z-Wave communicationsinterface and a Bluetooth communications interface.

6. The device of any preceding embodiments, wherein said programming isfurther configured to: select an optimal combination of transcriptionengines using embedded dedicated intelligence and processing algorithms,wherein the selection is made based on input from the user sensed inreal-time and the user's characteristics.

7. The device of any preceding embodiments, wherein said programming isfurther configured to: (a) receive a feedback input from the user torate the quality of the determined optimal output form; and (b) use thefeedback input as a learning parameter to iteratively improve itsdetermination of optimal output forms.

8. The device of any preceding embodiments, wherein the transcriptionengine is accessed by the smart wearable device through a stand-alonewireless connection or tethered through a wireless-enabled non-wearabledevice.

9. The device of any preceding embodiments, wherein the transcriptionengine is a natively-embedded application or queried remotely through acloud-based access.

10. The device of any preceding embodiments, wherein one or moretranscription engines are selected from the group consisting of a textto speech and speech to text engine, a natural language processingengine, an image generating engine, a sound generating engine, avibration generating engine, a smell generating engine and an integratedthird party application programming interface.

11. The device of any preceding embodiments, wherein the smart wearabledevice has a platform selected from the group consisting of hand worndevices, finger worn devices, wrist worn devices, head worn devices, armworn devices, leg worn devices, ankle worn devices, foot worn devices,toe worn devices, watches, eyeglasses, rings, bracelets, necklaces,articles of jewelry, articles of clothing, shoes, hats, contact lenses,and gloves.

12. A computer implemented method for determining the most optimaloutput form from a smart wearable device, the method comprising: (a)providing a smart wearable device, the smart wearable device comprising:(i) a housing, wherein the housing encases components of a wearablesmart device; (ii) one or more sensors, wherein at least one sensor is abiological sensor configured to acquire biological input; (iii) one ormore output forms; (iv) a memory; (v) one or more communicationsinterfaces; and (vi) a processor; (b) receiving input from the one ormore sensors associated with a smart wearable device, wherein at leastone sensor is a biological sensor configured to acquire biological inputand wherein the input may be acquired automatically or manually enteredby a user; (c) using the received input to determine an optimal outputform, wherein at least some of the input used to determine the optimaloutput form is related to the user's biology; and (d) if the outputinformation is not already in the determined optimal output form,transcribing output information into the determined optimal output formusing one or more transcription engines; (e) wherein said method isperformed by executing programming on at least one computer processor,said programming residing on a non-transitory medium readable by thecomputer processor.

13. The method of any preceding embodiments, further comprising:receiving input from one or more environmental sensors associated withthe smart wearable device, wherein at least one environmental sensor isconfigured to acquire contextual input and wherein at least some of theinput used to determine the optimal output form is related to thecontext in which the smart wearable device is operating.

14. The method of any preceding embodiments, wherein the one or morecommunications interfaces are selected from the group consisting of awired communications interface, a wireless communications interface, acellular communications interface, a WiFi communications interface, anear field communications interface, an infrared communicationsinterface, ZigBee communications interface, a Z-Wave communicationsinterface and a Bluetooth communications interface.

15. The method of any preceding embodiments, further comprising:selecting an optimal combination of transcription engines using embeddeddedicated intelligence and processing algorithms, wherein the selectionis made based on input from the user sensed in real-time and the user'scharacteristics.

16. The method of any preceding embodiments, further comprising: (a)receiving a feedback input from the user to rate the quality of thedetermined optimal output form; and (b) using the feedback input as alearning parameter to iteratively improve its determination of optimaloutput forms.

17. The method of any preceding embodiments, wherein the transcriptionengine is accessed by the smart wearable device through a stand-alonewireless connection or tethered through a wireless-enabled non-wearabledevice.

18. The method of any preceding embodiments, wherein the transcriptionengine is a natively-embedded application or queried remotely through acloud-based access.

19. The method of any preceding embodiments, wherein one or moretranscription engines are selected from the group consisting of a textto speech and speech to text engine, a natural language processingengine, an image generating engine, and an integrated third partyapplication programming interface.

20. The method of any preceding embodiments, wherein the smart wearabledevice has a platform selected from the group consisting of hand worndevices, finger worn devices, wrist worn devices, head worn devices, armworn devices, leg worn devices, ankle worn devices, foot worn devices,toe worn devices, watches, eyeglasses, rings, bracelets, necklaces,articles of jewelry, articles of clothing, shoes, hats, contact lenses,and gloves.

Although the description above contains many details, these should notbe construed as limiting the scope of the technology but as merelyproviding illustrations of some of the presently preferred embodimentsof this technology. Therefore, it will be appreciated that the scope ofthe present technology fully encompasses other embodiments which maybecome obvious to those skilled in the art, and that the scope of thepresent technology is accordingly to be limited by nothing other thanthe appended claims, in which reference to an element in the singular isnot intended to mean “one and only one” unless explicitly so stated, butrather “one or more.” All structural, chemical, and functionalequivalents to the elements of the above-described preferred embodimentthat are known to those of ordinary skill in the art are expresslyincorporated herein by reference and are intended to be encompassed bythe present claims. Moreover, it is not necessary for a device or methodto address each and every problem sought to be solved by the presenttechnology, for it to be encompassed by the present claims. Furthermore,no element, component, or method step in the present disclosure isintended to be dedicated to the public regardless of whether theelement, component, or method step is explicitly recited in the claims.No claim element herein is to be construed under the provisions of 35U.S.C. 112 unless the element is expressly recited using the phrase“means for” or “step for”.

What is claimed is:
 1. A smart wearable device, the device comprising:(a) a housing, wherein the housing encases components of a wearablesmart device; (b) one or more sensors, wherein at least one sensor is abiological sensor configured to acquire biological input; (c) one ormore output forms; (d) a memory; (e) one or more communicationsinterfaces; (f) a processor; and (g) programming residing in anon-transitory computer readable medium, wherein the programming isexecutable by the computer processor and configured to: (i) receiveinput from the one or more sensors, wherein the input may be acquiredautomatically or manually entered by a user and wherein at least some ofthe input is related to the user's biology; (ii) use the received inputto determine an optimal output form, wherein at least some of the inputused to determine the optimal output form is related to the user'sbiology; and (iii) if the device's native output form is not already inthe determined optimal output form, transcribe the output into thedetermined optimal output form using one or more transcription engines.2. The device of claim 1, further comprising: one or more environmentalsensors, wherein at least one environmental sensor is configured toacquire contextual input and wherein said programming is furtherconfigured to: receive input from the one or more environmental sensors,wherein at least some of the input used to determine the optimal outputform is related to the context in which the smart wearable device isoperating.
 3. The device of claim 1, wherein said programming is furtherconfigured to: transmit the optimized output to another smart wearableor non-wearable device, wherein the other smart wearable device ornon-wearable device is configured to convey the optimal output form tothe user.
 4. The device of claim 3, wherein said programming is furtherconfigured to: use information inferred from third party data sources orpast personal preferences to determine the optimal output form.
 5. Thedevice of claim 1, wherein the one or more communications interfaces areselected from the group consisting of a wired communications interface,a wireless communications interface, a cellular communicationsinterface, a WiFi communications interface, a near field communicationsinterface, an infrared communications interface, a ZigBee communicationsinterface, a Z-Wave communications interface and a Bluetoothcommunications interface.
 6. The device of claim 1, wherein saidprogramming is further configured to: select an optimal combination oftranscription engines using embedded dedicated intelligence andprocessing algorithms, wherein the selection is made based on input fromthe user sensed in real-time and the user's characteristics.
 7. Thedevice of claim 1, wherein said programming is further configured to:(a) receive a feedback input from the user to rate the quality of thedetermined optimal output form; and (b) use the feedback input as alearning parameter to iteratively improve its determination of optimaloutput forms.
 8. The device of claim 1, wherein the transcription engineis accessed by the smart wearable device through a stand-alone wirelessconnection or tethered through a wireless-enabled non-wearable device.9. The device of claim 1, wherein the transcription engine is anatively-embedded application or queried remotely through a cloud-basedaccess.
 10. The device of claim 1, wherein one or more transcriptionengines are selected from the group consisting of a text to speech andspeech to text engine, a natural language processing engine, an imagegenerating engine, a sound generating engine, a vibration generatingengine, a smell generating engine and an integrated third partyapplication programming interface.
 11. The device of claim 1, whereinthe smart wearable device has a platform selected from the groupconsisting of hand worn devices, finger worn devices, wrist worndevices, head worn devices, arm worn devices, leg worn devices, ankleworn devices, foot worn devices, toe worn devices, watches, eyeglasses,rings, bracelets, necklaces, articles of jewelry, articles of clothing,shoes, hats, contact lenses, and gloves.
 12. A computer implementedmethod for determining the most optimal output form from a smartwearable device, the method comprising: (a) providing a smart wearabledevice, the smart wearable device comprising: (i) a housing, wherein thehousing encases components of a wearable smart device; (ii) one or moresensors, wherein at least one sensor is a biological sensor configuredto acquire biological input; (iii) one or more output forms; (iv) amemory; (v) one or more communications interfaces; and (vi) a processor;(b) receiving input from the one or more sensors associated with a smartwearable device, wherein at least one sensor is a biological sensorconfigured to acquire biological input and wherein the input may beacquired automatically or manually entered by a user; (c) using thereceived input to determine an optimal output form, wherein at leastsome of the input used to determine the optimal output form is relatedto the user's biology; and (d) if the output information is not alreadyin the determined optimal output form, transcribing output informationinto the determined optimal output form using one or more transcriptionengines; (e) wherein said method is performed by executing programmingon at least one computer processor, said programming residing on anon-transitory medium readable by the computer processor.
 13. The methodof claim 12, further comprising: receiving input from one or moreenvironmental sensors associated with the smart wearable device, whereinat least one environmental sensor is configured to acquire contextualinput and wherein at least some of the input used to determine theoptimal output form is related to the context in which the smartwearable device is operating.
 14. The method of claim 12, wherein theone or more communications interfaces are selected from the groupconsisting of a wired communications interface, a wirelesscommunications interface, a cellular communications interface, a WiFicommunications interface, a near field communications interface, aninfrared communications interface, ZigBee communications interface, aZ-Wave communications interface and a Bluetooth communicationsinterface.
 15. The method of claim 12, further comprising: selecting anoptimal combination of transcription engines using embedded dedicatedintelligence and processing algorithms, wherein the selection is madebased on input from the user sensed in real-time and the user'scharacteristics.
 16. The method of claim 12, further comprising: (a)receiving a feedback input from the user to rate the quality of thedetermined optimal output form; and (b) using the feedback input as alearning parameter to iteratively improve its determination of optimaloutput forms.
 17. The method of claim 12, wherein the transcriptionengine is accessed by the smart wearable device through a stand-alonewireless connection or tethered through a wireless-enabled non-wearabledevice.
 18. The method of claim 12, wherein the transcription engine isa natively-embedded application or queried remotely through acloud-based access.
 19. The method of claim 12, wherein one or moretranscription engines are selected from the group consisting of a textto speech and speech to text engine, a natural language processingengine, an image generating engine, and an integrated third partyapplication programming interface.
 20. The method of claim 12, whereinthe smart wearable device has a platform selected from the groupconsisting of hand worn devices, finger worn devices, wrist worndevices, head worn devices, arm worn devices, leg worn devices, ankleworn devices, foot worn devices, toe worn devices, watches, eyeglasses,rings, bracelets, necklaces, articles of jewelry, articles of clothing,shoes, hats, contact lenses, and gloves.